Pentland, Kamran; Tamborrino, Massimiliano; Sullivan, T. J.; Buchanan, James; Appel, L. C. GParareal: a time-parallel ODE solver using Gaussian process emulation. (English) Zbl 1502.65041 Stat. Comput. 33, No. 1, Paper No. 23, 20 p. (2023). MSC: 65L05 65Y05 60G15 PDF BibTeX XML Cite \textit{K. Pentland} et al., Stat. Comput. 33, No. 1, Paper No. 23, 20 p. (2023; Zbl 1502.65041) Full Text: DOI arXiv OpenURL
Kejzlar, Vojtech; Maiti, Tapabrata Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration. (English) Zbl 1502.62017 Stat. Comput. 33, No. 1, Paper No. 18, 23 p. (2023). MSC: 62-08 62H05 62P35 PDF BibTeX XML Cite \textit{V. Kejzlar} and \textit{T. Maiti}, Stat. Comput. 33, No. 1, Paper No. 18, 23 p. (2023; Zbl 1502.62017) Full Text: DOI arXiv OpenURL
Riutort-Mayol, Gabriel; Bürkner, Paul-Christian; Andersen, Michael R.; Solin, Arno; Vehtari, Aki Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. (English) Zbl 1502.62024 Stat. Comput. 33, No. 1, Paper No. 17, 28 p. (2023). MSC: 62-08 60G15 62F15 PDF BibTeX XML Cite \textit{G. Riutort-Mayol} et al., Stat. Comput. 33, No. 1, Paper No. 17, 28 p. (2023; Zbl 1502.62024) Full Text: DOI arXiv OpenURL
Zhang, Junpeng; Ju, Yue; Mu, Biqiang; Zhong, Renxin; Chen, Tianshi An efficient implementation for spatial-temporal Gaussian process regression and its applications. (English) Zbl 1505.93269 Automatica 147, Article ID 110679, 14 p. (2023). MSC: 93E11 62P30 68Q17 PDF BibTeX XML Cite \textit{J. Zhang} et al., Automatica 147, Article ID 110679, 14 p. (2023; Zbl 1505.93269) Full Text: DOI arXiv OpenURL
Zhang, Jingjie; Katzfuss, Matthias Multi-scale Vecchia approximations of Gaussian processes. (English) Zbl 07632104 J. Agric. Biol. Environ. Stat. 27, No. 3, 440-460 (2022). MSC: 62P12 PDF BibTeX XML Cite \textit{J. Zhang} and \textit{M. Katzfuss}, J. Agric. Biol. Environ. Stat. 27, No. 3, 440--460 (2022; Zbl 07632104) Full Text: DOI OpenURL
Peruzzi, Michele; Dunson, David B. Spatial multivariate trees for big data Bayesian regression. (English) Zbl 07625170 J. Mach. Learn. Res. 23, Paper No. 17, 40 p. (2022). MSC: 68T05 PDF BibTeX XML Cite \textit{M. Peruzzi} and \textit{D. B. Dunson}, J. Mach. Learn. Res. 23, Paper No. 17, 40 p. (2022; Zbl 07625170) Full Text: arXiv Link OpenURL
Sanz-Alonso, Daniel; Yang, Ruiyi Finite element representations of Gaussian processes: balancing numerical and statistical accuracy. (English) Zbl 1498.62015 SIAM/ASA J. Uncertain. Quantif. 10, 1323-1349 (2022). MSC: 62-08 62G20 PDF BibTeX XML Cite \textit{D. Sanz-Alonso} and \textit{R. Yang}, SIAM/ASA J. Uncertain. Quantif. 10, 1323--1349 (2022; Zbl 1498.62015) Full Text: DOI arXiv OpenURL
Villacampa-Calvo, Carlos; Hernández-Muñoz, Gonzalo; Hernández-Lobato, Daniel Alpha-divergence minimization for deep Gaussian processes. (English) Zbl 07611310 Int. J. Approx. Reasoning 150, 139-171 (2022). MSC: 68T37 PDF BibTeX XML Cite \textit{C. Villacampa-Calvo} et al., Int. J. Approx. Reasoning 150, 139--171 (2022; Zbl 07611310) Full Text: DOI OpenURL
Miller, Andrew C.; Anderson, Lauren; Leistedt, Boris; Cunningham, John P.; Hogg, David W.; Blei, David M. Mapping interstellar dust with Gaussian processes. (English) Zbl 1498.62343 Ann. Appl. Stat. 16, No. 4, 2672-2692 (2022). MSC: 62P35 85A35 PDF BibTeX XML Cite \textit{A. C. Miller} et al., Ann. Appl. Stat. 16, No. 4, 2672--2692 (2022; Zbl 1498.62343) Full Text: DOI arXiv OpenURL
Bachoc, François; Durrande, Nicolas; Rullière, Didier; Chevalier, Clément Properties and comparison of some kriging sub-model aggregation methods. (English) Zbl 1495.86009 Math. Geosci. 54, No. 5, 941-977 (2022). MSC: 86A32 86-08 62R07 62H11 PDF BibTeX XML Cite \textit{F. Bachoc} et al., Math. Geosci. 54, No. 5, 941--977 (2022; Zbl 1495.86009) Full Text: DOI arXiv OpenURL
Katzfuss, Matthias; Guinness, Joseph; Lawrence, Earl Scaled Vecchia approximation for fast computer-model emulation. (English) Zbl 1493.62011 SIAM/ASA J. Uncertain. Quantif. 10, 537-554 (2022). MSC: 62-08 62M30 62P30 PDF BibTeX XML Cite \textit{M. Katzfuss} et al., SIAM/ASA J. Uncertain. Quantif. 10, 537--554 (2022; Zbl 1493.62011) Full Text: DOI arXiv OpenURL
Ortali, Giulio; Demo, Nicola; Rozza, Gianluigi A Gaussian process regression approach within a data-driven POD framework for engineering problems in fluid dynamics. (English) Zbl 1500.76072 Math. Eng. (Springfield) 4, No. 3, Paper No. 21, 16 p. (2022). MSC: 76M99 76D05 PDF BibTeX XML Cite \textit{G. Ortali} et al., Math. Eng. (Springfield) 4, No. 3, Paper No. 21, 16 p. (2022; Zbl 1500.76072) Full Text: DOI arXiv OpenURL
Nakai-Kasai, Ayano; Tanaka, Toshiyuki Nested aggregation of experts using inducing points for approximated Gaussian process regression. (English) Zbl 07570140 Mach. Learn. 111, No. 5, 1671-1694 (2022). MSC: 68T05 PDF BibTeX XML Cite \textit{A. Nakai-Kasai} and \textit{T. Tanaka}, Mach. Learn. 111, No. 5, 1671--1694 (2022; Zbl 07570140) Full Text: DOI OpenURL
Meng, Qun; Wang, Songhao; Ng, Szu Hui Combined global and local search for optimization with Gaussian process models. (English) Zbl 07549397 INFORMS J. Comput. 34, No. 1, 622-637 (2022). MSC: 90-XX PDF BibTeX XML Cite \textit{Q. Meng} et al., INFORMS J. Comput. 34, No. 1, 622--637 (2022; Zbl 07549397) Full Text: DOI arXiv OpenURL
Povala, Jan; Kazlauskaite, Ieva; Febrianto, Eky; Cirak, Fehmi; Girolami, Mark Variational Bayesian approximation of inverse problems using sparse precision matrices. (English) Zbl 1507.35343 Comput. Methods Appl. Mech. Eng. 393, Article ID 114712, 31 p. (2022). MSC: 35R30 60H35 35-04 PDF BibTeX XML Cite \textit{J. Povala} et al., Comput. Methods Appl. Mech. Eng. 393, Article ID 114712, 31 p. (2022; Zbl 1507.35343) Full Text: DOI arXiv OpenURL
Chen, Jialei; Chen, Zhehui; Zhang, Chuck; Jeff Wu, C. F. APIK: active physics-informed Kriging model with partial differential equations. (English) Zbl 1490.60078 SIAM/ASA J. Uncertain. Quantif. 10, 481-506 (2022). MSC: 60G15 62F15 62G08 62K20 62P25 PDF BibTeX XML Cite \textit{J. Chen} et al., SIAM/ASA J. Uncertain. Quantif. 10, 481--506 (2022; Zbl 1490.60078) Full Text: DOI arXiv OpenURL
García, Constantino A.; Félix, Paulo; Presedo, Jesús M.; Otero, Abraham Stochastic embeddings of dynamical phenomena through variational autoencoders. (English) Zbl 07518058 J. Comput. Phys. 454, Article ID 110970, 22 p. (2022). MSC: 68Txx 65Cxx 62Gxx PDF BibTeX XML Cite \textit{C. A. García} et al., J. Comput. Phys. 454, Article ID 110970, 22 p. (2022; Zbl 07518058) Full Text: DOI arXiv OpenURL
Schoeman, J. C.; van Daalen, Corné E.; du Preez, Johan A. Degenerate Gaussian factors for probabilistic inference. (English) Zbl 07478970 Int. J. Approx. Reasoning 143, 159-191 (2022). MSC: 68T37 PDF BibTeX XML Cite \textit{J. C. Schoeman} et al., Int. J. Approx. Reasoning 143, 159--191 (2022; Zbl 07478970) Full Text: DOI arXiv Link OpenURL
Loper, Jackson; Blei, David; Cunningham, John P.; Paninski, Liam A general linear-time inference method for Gaussian processes on one dimension. (English) Zbl 07626749 J. Mach. Learn. Res. 22, Paper No. 234, 36 p. (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{J. Loper} et al., J. Mach. Learn. Res. 22, Paper No. 234, 36 p. (2021; Zbl 07626749) Full Text: arXiv Link OpenURL
Smith, Michael Thomas; Álvarez, Mauricio A.; Lawrence, Neil D. Differentially private regression and classification with sparse Gaussian processes. (English) Zbl 07626703 J. Mach. Learn. Res. 22, Paper No. 188, 41 p. (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{M. T. Smith} et al., J. Mach. Learn. Res. 22, Paper No. 188, 41 p. (2021; Zbl 07626703) Full Text: arXiv Link OpenURL
Chen, Yifan; Hosseini, Bamdad; Owhadi, Houman; Stuart, Andrew M. Solving and learning nonlinear PDEs with Gaussian processes. (English) Zbl 07516428 J. Comput. Phys. 447, Article ID 110668, 29 p. (2021). MSC: 65Cxx 68Txx 62Gxx PDF BibTeX XML Cite \textit{Y. Chen} et al., J. Comput. Phys. 447, Article ID 110668, 29 p. (2021; Zbl 07516428) Full Text: DOI arXiv Link OpenURL
Lin, Luyao; Bingham, Derek; Broekgaarden, Floor; Mandel, Ilya Uncertainty quantification of a computer model for binary black hole formation. (English) Zbl 1498.62342 Ann. Appl. Stat. 15, No. 4, 1604-1627 (2021). MSC: 62P35 62K99 62L05 83C57 PDF BibTeX XML Cite \textit{L. Lin} et al., Ann. Appl. Stat. 15, No. 4, 1604--1627 (2021; Zbl 1498.62342) Full Text: DOI arXiv OpenURL
Benavoli, Alessio; Azzimonti, Dario; Piga, Dario A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with skew Gaussian processes. (English) Zbl 07465776 Mach. Learn. 110, No. 11-12, 3095-3133 (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{A. Benavoli} et al., Mach. Learn. 110, No. 11--12, 3095--3133 (2021; Zbl 07465776) Full Text: DOI arXiv OpenURL
Chen, Kai; van Laarhoven, Twan; Marchiori, Elena Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting. (English) Zbl 07465670 Mach. Learn. 110, No. 8, 2213-2238 (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{K. Chen} et al., Mach. Learn. 110, No. 8, 2213--2238 (2021; Zbl 07465670) Full Text: DOI arXiv OpenURL
Zhao, Zheng; Emzir, Muhammad; Särkkä, Simo Deep state-space Gaussian processes. (English) Zbl 1475.62068 Stat. Comput. 31, No. 6, Paper No. 75, 26 p. (2021). MSC: 62-08 62M20 PDF BibTeX XML Cite \textit{Z. Zhao} et al., Stat. Comput. 31, No. 6, Paper No. 75, 26 p. (2021; Zbl 1475.62068) Full Text: DOI arXiv OpenURL
Cole, D. Austin; Christianson, Ryan B.; Gramacy, Robert B. Locally induced Gaussian processes for large-scale simulation experiments. (English) Zbl 1475.62023 Stat. Comput. 31, No. 3, Paper No. 33, 21 p. (2021). MSC: 62-08 PDF BibTeX XML Cite \textit{D. A. Cole} et al., Stat. Comput. 31, No. 3, Paper No. 33, 21 p. (2021; Zbl 1475.62023) Full Text: DOI arXiv OpenURL
Yang, Xiu; Tartakovsky, Guzel; Tartakovsky, Alexandre M. Physics information aided kriging using stochastic simulation models. (English) Zbl 1483.65019 SIAM J. Sci. Comput. 43, No. 6, A3862-A3891 (2021). MSC: 65C30 60G15 65C05 68T05 PDF BibTeX XML Cite \textit{X. Yang} et al., SIAM J. Sci. Comput. 43, No. 6, A3862--A3891 (2021; Zbl 1483.65019) Full Text: DOI arXiv OpenURL
Panos, Aristeidis; Dellaportas, Petros; Titsias, Michalis K. Large scale multi-label learning using Gaussian processes. (English) Zbl 07432827 Mach. Learn. 110, No. 5, 965-987 (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{A. Panos} et al., Mach. Learn. 110, No. 5, 965--987 (2021; Zbl 07432827) Full Text: DOI OpenURL
Ismagilov, Niyaz S.; Lifshits, Mikhail A.; Yakovlev, Andrey A. A new type of conditioning of stationary fields and its application to the spectral simulation approach in geostatistics. (English) Zbl 1465.86014 Math. Geosci. 53, No. 4, 597-621 (2021). MSC: 86A32 60G25 62M40 PDF BibTeX XML Cite \textit{N. S. Ismagilov} et al., Math. Geosci. 53, No. 4, 597--621 (2021; Zbl 1465.86014) Full Text: DOI OpenURL
Katzfuss, Matthias; Guinness, Joseph A general framework for Vecchia approximations of Gaussian processes. (English) Zbl 07368223 Stat. Sci. 36, No. 1, 124-141 (2021). MSC: 62-XX PDF BibTeX XML Cite \textit{M. Katzfuss} and \textit{J. Guinness}, Stat. Sci. 36, No. 1, 124--141 (2021; Zbl 07368223) Full Text: DOI arXiv OpenURL
Schäfer, Florian; Katzfuss, Matthias; Owhadi, Houman Sparse Cholesky factorization by Kullback-Leibler minimization. (English) Zbl 07364386 SIAM J. Sci. Comput. 43, No. 3, A2019-A2046 (2021). MSC: 65F30 42C40 65F50 65N55 65N75 60G42 68W40 PDF BibTeX XML Cite \textit{F. Schäfer} et al., SIAM J. Sci. Comput. 43, No. 3, A2019--A2046 (2021; Zbl 07364386) Full Text: DOI arXiv OpenURL
Schäfer, Florian; Sullivan, T. J.; Owhadi, Houman Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity. (English) Zbl 1461.65067 Multiscale Model. Simul. 19, No. 2, 688-730 (2021). MSC: 65F99 42C40 62H25 65F50 68Q25 68W40 PDF BibTeX XML Cite \textit{F. Schäfer} et al., Multiscale Model. Simul. 19, No. 2, 688--730 (2021; Zbl 1461.65067) Full Text: DOI arXiv OpenURL
Zilber, Daniel; Katzfuss, Matthias Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data. (English) Zbl 07345917 Comput. Stat. Data Anal. 153, Article ID 107081, 17 p. (2021). MSC: 62M30 60G15 62J12 62P12 86A32 PDF BibTeX XML Cite \textit{D. Zilber} and \textit{M. Katzfuss}, Comput. Stat. Data Anal. 153, Article ID 107081, 17 p. (2021; Zbl 07345917) Full Text: DOI arXiv OpenURL
Demo, Nicola; Ortali, Giulio; Gustin, Gianluca; Rozza, Gianluigi; Lavini, Gianpiero An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques. (English) Zbl 07342991 Boll. Unione Mat. Ital. 14, No. 1, 211-230 (2021). MSC: 65-XX 76-XX PDF BibTeX XML Cite \textit{N. Demo} et al., Boll. Unione Mat. Ital. 14, No. 1, 211--230 (2021; Zbl 07342991) Full Text: DOI arXiv OpenURL
Tajnafoi, Gabor; Arcucci, Rossella; Mottet, Laetitia; Vouriot, Carolanne; Molina-Solana, Miguel; Pain, Christopher; Guo, Yi-Ke Variational Gaussian process for optimal sensor placement. (English) Zbl 07332699 Appl. Math., Praha 66, No. 2, 287-317 (2021). MSC: 65Z05 68T99 PDF BibTeX XML Cite \textit{G. Tajnafoi} et al., Appl. Math., Praha 66, No. 2, 287--317 (2021; Zbl 07332699) Full Text: DOI OpenURL
Lei, Chon Lok; Ghosh, Sanmitra; Whittaker, Dominic G.; Aboelkassem, Yasser; Beattie, Kylie A.; Cantwell, Chris D.; Delhaas, Tammo; Houston, Charles; Novaes, Gustavo Montes; Panfilov, Alexander V.; Pathmanathan, Pras; Riabiz, Marina; Dos Santos, Rodrigo Weber; Walmsley, John; Worden, Keith; Mirams, Gary R.; Wilkinson, Richard D. Considering discrepancy when calibrating a mechanistic electrophysiology model. (English) Zbl 1470.92057 Philos. Trans. R. Soc. Lond., A, Math. Phys. Eng. Sci. 378, No. 2173, Article ID 20190349, 23 p. (2020). MSC: 92C30 92C10 PDF BibTeX XML Cite \textit{C. L. Lei} et al., Philos. Trans. R. Soc. Lond., A, Math. Phys. Eng. Sci. 378, No. 2173, Article ID 20190349, 23 p. (2020; Zbl 1470.92057) Full Text: DOI arXiv OpenURL
Bigoni, Caterina; Zhang, Zhenying; Hesthaven, Jan S. Systematic sensor placement for structural anomaly detection in the absence of damaged states. (English) Zbl 1506.62536 Comput. Methods Appl. Mech. Eng. 371, Article ID 113315, 26 p. (2020). MSC: 62P30 60G15 62F15 62K99 65C20 PDF BibTeX XML Cite \textit{C. Bigoni} et al., Comput. Methods Appl. Mech. Eng. 371, Article ID 113315, 26 p. (2020; Zbl 1506.62536) Full Text: DOI OpenURL
Vlassis, Nikolaos N.; Ma, Ran; Sun, WaiChing Geometric deep learning for computational mechanics. I: Anisotropic hyperelasticity. (English) Zbl 1506.74504 Comput. Methods Appl. Mech. Eng. 371, Article ID 113299, 39 p. (2020). MSC: 74S99 68T05 65T50 74B20 74E10 PDF BibTeX XML Cite \textit{N. N. Vlassis} et al., Comput. Methods Appl. Mech. Eng. 371, Article ID 113299, 39 p. (2020; Zbl 1506.74504) Full Text: DOI arXiv OpenURL
Wang, Ting; Leiter, Kenneth W.; Plecháč, Petr; Knap, Jaroslaw Accelerated scale bridging with sparsely approximated Gaussian learning. (English) Zbl 1453.62650 J. Comput. Phys. 403, Article ID 109049, 15 p. (2020). MSC: 62M10 PDF BibTeX XML Cite \textit{T. Wang} et al., J. Comput. Phys. 403, Article ID 109049, 15 p. (2020; Zbl 1453.62650) Full Text: DOI arXiv OpenURL
Benavoli, Alessio; Azzimonti, Dario; Piga, Dario Skew Gaussian processes for classification. (English) Zbl 07289242 Mach. Learn. 109, No. 9-10, 1877-1902 (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{A. Benavoli} et al., Mach. Learn. 109, No. 9--10, 1877--1902 (2020; Zbl 07289242) Full Text: DOI arXiv OpenURL
Lu, Xuefei; Rudi, Alessandro; Borgonovo, Emanuele; Rosasco, Lorenzo Faster Kriging: facing high-dimensional simulators. (English) Zbl 1445.90001 Oper. Res. 68, No. 1, 233-249 (2020). MSC: 90-10 PDF BibTeX XML Cite \textit{X. Lu} et al., Oper. Res. 68, No. 1, 233--249 (2020; Zbl 1445.90001) Full Text: DOI OpenURL
Burkhart, Michael C.; Brandman, David M.; Franco, Brian; Hochberg, Leigh R.; Harrison, Matthew T. The discriminative Kalman filter for Bayesian filtering with nonlinear and nongaussian observation models. (English) Zbl 1468.62355 Neural Comput. 32, No. 5, 969-1017 (2020). MSC: 62M20 62F15 62G08 62P10 PDF BibTeX XML Cite \textit{M. C. Burkhart} et al., Neural Comput. 32, No. 5, 969--1017 (2020; Zbl 1468.62355) Full Text: DOI Link OpenURL
Bartels, Simon; Hennig, Philipp Conjugate gradients for kernel machines. (English) Zbl 1498.68223 J. Mach. Learn. Res. 21, Paper No. 55, 42 p. (2020). MSC: 68T05 60G15 62-08 62J05 62M20 PDF BibTeX XML Cite \textit{S. Bartels} and \textit{P. Hennig}, J. Mach. Learn. Res. 21, Paper No. 55, 42 p. (2020; Zbl 1498.68223) Full Text: arXiv Link OpenURL
Schürch, Manuel; Azzimonti, Dario; Benavoli, Alessio; Zaffalon, Marco Recursive estimation for sparse Gaussian process regression. (English) Zbl 1448.93320 Automatica 120, Article ID 109127, 11 p. (2020). MSC: 93E10 93E11 62P30 62G08 PDF BibTeX XML Cite \textit{M. Schürch} et al., Automatica 120, Article ID 109127, 11 p. (2020; Zbl 1448.93320) Full Text: DOI arXiv OpenURL
Wauters, Jolan; Keane, Andy; Degroote, Joris Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization. (English) Zbl 1450.90048 J. Glob. Optim. 78, No. 1, 137-160 (2020). MSC: 90C29 PDF BibTeX XML Cite \textit{J. Wauters} et al., J. Glob. Optim. 78, No. 1, 137--160 (2020; Zbl 1450.90048) Full Text: DOI Link OpenURL
Todescato, Marco; Carron, Andrea; Carli, Ruggero; Pillonetto, Gianluigi; Schenato, Luca Efficient spatio-temporal Gaussian regression via Kalman filtering. (English) Zbl 1447.93357 Automatica 118, Article ID 109032, 13 p. (2020). MSC: 93E11 60G15 62G08 PDF BibTeX XML Cite \textit{M. Todescato} et al., Automatica 118, Article ID 109032, 13 p. (2020; Zbl 1447.93357) Full Text: DOI arXiv OpenURL
Solin, Arno; Särkkä, Simo Hilbert space methods for reduced-rank Gaussian process regression. (English) Zbl 1436.62316 Stat. Comput. 30, No. 2, 419-446 (2020). MSC: 62J02 60G15 62-08 PDF BibTeX XML Cite \textit{A. Solin} and \textit{S. Särkkä}, Stat. Comput. 30, No. 2, 419--446 (2020; Zbl 1436.62316) Full Text: DOI arXiv OpenURL
Sahli Costabal, Francisco; Perdikaris, Paris; Kuhl, Ellen; Hurtado, Daniel E. Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models. (English) Zbl 1442.62008 Comput. Methods Appl. Mech. Eng. 357, Article ID 112602, 16 p. (2019). MSC: 62-08 62H30 PDF BibTeX XML Cite \textit{F. Sahli Costabal} et al., Comput. Methods Appl. Mech. Eng. 357, Article ID 112602, 16 p. (2019; Zbl 1442.62008) Full Text: DOI arXiv OpenURL
Jayaraman, Balaji; Lu, Chen; Whitman, Joshua; Chowdhary, Girish Sparse feature map-based Markov models for nonlinear fluid flows. (English) Zbl 07124561 Comput. Fluids 191, Article ID 104252, 20 p. (2019). MSC: 76-XX PDF BibTeX XML Cite \textit{B. Jayaraman} et al., Comput. Fluids 191, Article ID 104252, 20 p. (2019; Zbl 07124561) Full Text: DOI arXiv OpenURL
Litvinenko, Alexander; Keyes, David; Khoromskaia, Venera; Khoromskij, Boris N.; Matthies, Hermann G. Tucker tensor analysis of Matérn functions in spatial statistics. (English) Zbl 1420.60084 Comput. Methods Appl. Math. 19, No. 1, 101-122 (2019). MSC: 60H15 60H35 65N25 PDF BibTeX XML Cite \textit{A. Litvinenko} et al., Comput. Methods Appl. Math. 19, No. 1, 101--122 (2019; Zbl 1420.60084) Full Text: arXiv OpenURL
Raissi, Maziar; Babaee, Hessam; Karniadakis, George Em Parametric Gaussian process regression for big data. (English) Zbl 1471.62272 Comput. Mech. 64, No. 2, 409-416 (2019). MSC: 62F10 62J05 62R07 60G15 68T05 62P12 PDF BibTeX XML Cite \textit{M. Raissi} et al., Comput. Mech. 64, No. 2, 409--416 (2019; Zbl 1471.62272) Full Text: DOI arXiv OpenURL
Litvinenko, Alexander; Sun, Ying; Genton, Marc G.; Keyes, David E. Likelihood approximation with hierarchical matrices for large spatial datasets. (English) Zbl 1507.62110 Comput. Stat. Data Anal. 137, 115-132 (2019). MSC: 62-08 62M30 65F55 PDF BibTeX XML Cite \textit{A. Litvinenko} et al., Comput. Stat. Data Anal. 137, 115--132 (2019; Zbl 1507.62110) Full Text: DOI arXiv OpenURL
Nguyen, Thi Nhat Anh; Bouzerdoum, Abdesselam; Phung, Son Lam Stochastic variational hierarchical mixture of sparse Gaussian processes for regression. (English) Zbl 1480.62059 Mach. Learn. 107, No. 12, 1947-1986 (2018). MSC: 62F15 68T05 62G05 62H30 PDF BibTeX XML Cite \textit{T. N. A. Nguyen} et al., Mach. Learn. 107, No. 12, 1947--1986 (2018; Zbl 1480.62059) Full Text: DOI OpenURL
Zhang, Cheng; Shahbaba, Babak; Zhao, Hongkai Variational Hamiltonian Monte Carlo via score matching. (English) Zbl 06989957 Bayesian Anal. 13, No. 2, 485-506 (2018). MSC: 65C60 65C05 PDF BibTeX XML Cite \textit{C. Zhang} et al., Bayesian Anal. 13, No. 2, 485--506 (2018; Zbl 06989957) Full Text: DOI arXiv Euclid OpenURL
Hensman, James; Durrande, Nicolas; Solin, Arno Variational Fourier features for Gaussian processes. (English) Zbl 1467.62152 J. Mach. Learn. Res. 18(2017-2018), Paper No. 151, 52 p. (2018). MSC: 62M15 62F15 60G15 62-08 65C05 PDF BibTeX XML Cite \textit{J. Hensman} et al., J. Mach. Learn. Res. 18, Paper No. 151, 52 p. (2018; Zbl 1467.62152) Full Text: arXiv Link OpenURL
Peters, Markus; Saar-Tsechansky, Maytal; Ketter, Wolfgang; Williamson, Sinead A.; Groot, Perry; Heskes, Tom A scalable preference model for autonomous decision-making. (English) Zbl 1461.68234 Mach. Learn. 107, No. 6, 1039-1068 (2018). MSC: 68T42 62F15 62M20 68T05 91B06 91B08 PDF BibTeX XML Cite \textit{M. Peters} et al., Mach. Learn. 107, No. 6, 1039--1068 (2018; Zbl 1461.68234) Full Text: DOI OpenURL
Levi, Evgeny; Craiu, Radu V. Bayesian inference for conditional copulas using Gaussian process single index models. (English) Zbl 1469.62099 Comput. Stat. Data Anal. 122, 115-134 (2018). MSC: 62-08 62F15 62H05 PDF BibTeX XML Cite \textit{E. Levi} and \textit{R. V. Craiu}, Comput. Stat. Data Anal. 122, 115--134 (2018; Zbl 1469.62099) Full Text: DOI OpenURL
Marmin, Sébastien; Ginsbourger, David; Baccou, Jean; Liandrat, Jacques Warped Gaussian processes and derivative-based sequential designs for functions with heterogeneous variations. (English) Zbl 1403.62144 SIAM/ASA J. Uncertain. Quantif. 6, 991-1018 (2018). MSC: 62L05 60G15 62K99 PDF BibTeX XML Cite \textit{S. Marmin} et al., SIAM/ASA J. Uncertain. Quantif. 6, 991--1018 (2018; Zbl 1403.62144) Full Text: DOI OpenURL
Rodner, Erik; Freytag, Alexander; Bodesheim, Paul; Fröhlich, Björn; Denzler, Joachim Large-scale Gaussian process inference with generalized histogram intersection kernels for visual recognition tasks. (English) Zbl 1458.68251 Int. J. Comput. Vis. 121, No. 2, 253-280 (2017). MSC: 68T45 60G15 68T05 PDF BibTeX XML Cite \textit{E. Rodner} et al., Int. J. Comput. Vis. 121, No. 2, 253--280 (2017; Zbl 1458.68251) Full Text: DOI OpenURL
Simo-Serra, Edgar; Torras, Carme; Moreno-Noguer, Francesc 3D human pose tracking priors using geodesic mixture models. (English) Zbl 1458.68252 Int. J. Comput. Vis. 122, No. 2, 388-408 (2017). MSC: 68T45 62H30 62R30 68T05 70B99 PDF BibTeX XML Cite \textit{E. Simo-Serra} et al., Int. J. Comput. Vis. 122, No. 2, 388--408 (2017; Zbl 1458.68252) Full Text: DOI Link OpenURL
Bui, Thang D.; Yan, Josiah; Turner, Richard E. A unifying framework for Gaussian process pseudo-point approximations using power expectation propagation. (English) Zbl 1443.60037 J. Mach. Learn. Res. 18(2017-2018), Paper No. 104, 72 p. (2017). MSC: 60G15 PDF BibTeX XML Cite \textit{T. D. Bui} et al., J. Mach. Learn. Res. 18, Paper No. 104, 72 p. (2017; Zbl 1443.60037) Full Text: arXiv Link OpenURL
Zhang, Cheng; Shahbaba, Babak; Zhao, Hongkai Hamiltonian Monte Carlo acceleration using surrogate functions with random bases. (English) Zbl 1384.65008 Stat. Comput. 27, No. 6, 1473-1490 (2017). MSC: 65C05 62F15 68T05 PDF BibTeX XML Cite \textit{C. Zhang} et al., Stat. Comput. 27, No. 6, 1473--1490 (2017; Zbl 1384.65008) Full Text: DOI arXiv Link OpenURL
Wan, Zhong Yi; Sapsis, Themistoklis P. Reduced-space Gaussian process regression for data-driven probabilistic forecast of chaotic dynamical systems. (English) Zbl 1380.37111 Physica D 345, 40-55 (2017). MSC: 37H10 37N10 62G08 62F15 62M20 PDF BibTeX XML Cite \textit{Z. Y. Wan} and \textit{T. P. Sapsis}, Physica D 345, 40--55 (2017; Zbl 1380.37111) Full Text: DOI arXiv OpenURL
Zaytsev, A.; Burnaev, E. Large scale variable fidelity surrogate modeling. (English) Zbl 1374.60067 Ann. Math. Artif. Intell. 81, No. 1-2, 167-186 (2017). MSC: 60G15 65F30 62G08 PDF BibTeX XML Cite \textit{A. Zaytsev} and \textit{E. Burnaev}, Ann. Math. Artif. Intell. 81, No. 1--2, 167--186 (2017; Zbl 1374.60067) Full Text: DOI arXiv OpenURL
Hu, Jinwen; Zhou, Min; Li, Xiang; Xu, Zhao Online model regression for nonlinear time-varying manufacturing systems. (English) Zbl 1357.93102 Automatica 78, 163-173 (2017). MSC: 93E20 93A30 62M10 90B30 93E24 PDF BibTeX XML Cite \textit{J. Hu} et al., Automatica 78, 163--173 (2017; Zbl 1357.93102) Full Text: DOI OpenURL
Aldegunde, Manuel; Zabaras, Nicholas; Kristensen, Jesper Quantifying uncertainties in first-principles alloy thermodynamics using cluster expansions. (English) Zbl 1418.62031 J. Comput. Phys. 323, 17-44 (2016). MSC: 62C12 82B80 82D35 PDF BibTeX XML Cite \textit{M. Aldegunde} et al., J. Comput. Phys. 323, 17--44 (2016; Zbl 1418.62031) Full Text: DOI OpenURL
Tan, Linda S. L.; Ong, Victor M. H.; Nott, David J.; Jasra, Ajay Variational inference for sparse spectrum Gaussian process regression. (English) Zbl 1356.62040 Stat. Comput. 26, No. 6, 1243-1261 (2016). MSC: 62F15 62G08 60G15 PDF BibTeX XML Cite \textit{L. S. L. Tan} et al., Stat. Comput. 26, No. 6, 1243--1261 (2016; Zbl 1356.62040) Full Text: DOI arXiv OpenURL
Belyaev, Mikhail; Burnaev, Evgeny; Kapushev, Y. Computationally efficient algorithm for Gaussian process regression in case of structured samples. (English. Russian original) Zbl 1403.62141 Comput. Math. Math. Phys. 56, No. 4, 499-513 (2016); translation from Zh. Vychisl. Mat. Mat. Fiz. 56, No. 4, 507-522 (2016). MSC: 62K15 60G15 62J02 PDF BibTeX XML Cite \textit{M. Belyaev} et al., Comput. Math. Math. Phys. 56, No. 4, 499--513 (2016; Zbl 1403.62141); translation from Zh. Vychisl. Mat. Mat. Fiz. 56, No. 4, 507--522 (2016) Full Text: DOI OpenURL
Fusi, Nicolo; Listgarten, Jennifer Flexible modelling of genetic effects on function-valued traits. (English) Zbl 1355.92065 Singh, Mona (ed.), Research in computational molecular biology. 20th annual conference, RECOMB 2016, Santa Monica, CA, USA, April 17–21, 2016. Proceedings. Cham: Springer (ISBN 978-3-319-31956-8/pbk; 978-3-319-31957-5/ebook). Lecture Notes in Computer Science 9649. Lecture Notes in Bioinformatics, 95-110 (2016). MSC: 92D10 92B15 62P10 PDF BibTeX XML Cite \textit{N. Fusi} and \textit{J. Listgarten}, Lect. Notes Comput. Sci. 9649, 95--110 (2016; Zbl 1355.92065) Full Text: DOI OpenURL
Marzat, Julien; Walter, Eric; Piet-Lahanier, Hélène A new expected-improvement algorithm for continuous minimax optimization. (English) Zbl 1345.90105 J. Glob. Optim. 64, No. 4, 785-802 (2016). MSC: 90C47 PDF BibTeX XML Cite \textit{J. Marzat} et al., J. Glob. Optim. 64, No. 4, 785--802 (2016; Zbl 1345.90105) Full Text: DOI HAL OpenURL
Stulp, Freek; Sigaud, Olivier Many regression algorithms, one unified model: a review. (English) Zbl 1403.62065 Neural Netw. 69, 60-79 (2015). MSC: 62G08 62H30 68T05 PDF BibTeX XML Cite \textit{F. Stulp} and \textit{O. Sigaud}, Neural Netw. 69, 60--79 (2015; Zbl 1403.62065) Full Text: DOI OpenURL
Havyarimana, Vincent; Wang, Dong; Xiao, Zhu A novel probabilistic approach for vehicle position prediction in free, partial, and full GPS outages. (English) Zbl 1393.60038 Math. Probl. Eng. 2015, Article ID 189282, 13 p. (2015). MSC: 60G35 PDF BibTeX XML Cite \textit{V. Havyarimana} et al., Math. Probl. Eng. 2015, Article ID 189282, 13 p. (2015; Zbl 1393.60038) Full Text: DOI OpenURL
Mlakar, Miha; Petelin, Dejan; Tušar, Tea; Filipič, Bogdan GP-DEMO: differential evolution for multiobjective optimization based on Gaussian process models. (English) Zbl 1346.90747 Eur. J. Oper. Res. 243, No. 2, 347-361 (2015). MSC: 90C29 90C59 PDF BibTeX XML Cite \textit{M. Mlakar} et al., Eur. J. Oper. Res. 243, No. 2, 347--361 (2015; Zbl 1346.90747) Full Text: DOI OpenURL
Mononen, Tommi A case study of the widely applicable Bayesian information criterion and its optimality. (English) Zbl 1332.62099 Stat. Comput. 25, No. 5, 929-940 (2015). MSC: 62F15 62G08 PDF BibTeX XML Cite \textit{T. Mononen}, Stat. Comput. 25, No. 5, 929--940 (2015; Zbl 1332.62099) Full Text: DOI OpenURL
Penfold, Christopher A.; Shifaz, Ahmed; Brown, Paul E.; Nicholson, Ann; Wild, David L. CSI: a nonparametric Bayesian approach to network inference from multiple perturbed time series gene expression data. (English) Zbl 1329.92007 Stat. Appl. Genet. Mol. Biol. 14, No. 3, 307-310 (2015). MSC: 92-04 62-04 62G99 60G15 92C42 PDF BibTeX XML Cite \textit{C. A. Penfold} et al., Stat. Appl. Genet. Mol. Biol. 14, No. 3, 307--310 (2015; Zbl 1329.92007) Full Text: DOI Link OpenURL
Riihimäki, Jaakko; Vehtari, Aki Laplace approximation for logistic Gaussian process density estimation and regression. (English) Zbl 1327.62248 Bayesian Anal. 9, No. 2, 425-448 (2014). MSC: 62G07 62G08 62F15 PDF BibTeX XML Cite \textit{J. Riihimäki} and \textit{A. Vehtari}, Bayesian Anal. 9, No. 2, 425--448 (2014; Zbl 1327.62248) Full Text: DOI arXiv Euclid OpenURL
Pillonetto, Gianluigi; Dinuzzo, Francesco; Chen, Tianshi; De Nicolao, Giuseppe; Ljung, Lennart Kernel methods in system identification, machine learning and function estimation: a survey. (English) Zbl 1298.93342 Automatica 50, No. 3, 657-682 (2014). MSC: 93E12 93E10 93C05 68T05 PDF BibTeX XML Cite \textit{G. Pillonetto} et al., Automatica 50, No. 3, 657--682 (2014; Zbl 1298.93342) Full Text: DOI Link OpenURL
Das, Kamalika; Srivastava, Ashok N. Sparse inverse kernel Gaussian process regression. (English) Zbl 07260362 Stat. Anal. Data Min. 6, No. 3, 205-220 (2013). MSC: 62-XX 68-XX PDF BibTeX XML Cite \textit{K. Das} and \textit{A. N. Srivastava}, Stat. Anal. Data Min. 6, No. 3, 205--220 (2013; Zbl 07260362) Full Text: DOI OpenURL
Damas, Bruno; Santos-Victor, José Online learning of single- and multivalued functions with an infinite mixture of linear experts. (English) Zbl 1414.68049 Neural Comput. 25, No. 11, 3044-3091 (2013). MSC: 68T05 PDF BibTeX XML Cite \textit{B. Damas} and \textit{J. Santos-Victor}, Neural Comput. 25, No. 11, 3044--3091 (2013; Zbl 1414.68049) Full Text: DOI OpenURL
Petelin, Dejan; Kocijan, Juš Streaming-data selection for Gaussian-process modelling. (English) Zbl 1348.62279 Borgelt, Christian (ed.) et al., Towards advanced data analysis by combining soft computing and statistics. Berlin: Springer (ISBN 978-3-642-30277-0/hbk; 978-3-642-30278-7/ebook). Studies in Fuzziness and Soft Computing 285, 177-190 (2013). MSC: 62P99 62L10 62G99 PDF BibTeX XML Cite \textit{D. Petelin} and \textit{J. Kocijan}, Stud. Fuzziness Soft Comput. 285, 177--190 (2013; Zbl 1348.62279) Full Text: DOI OpenURL
Pahikkala, Tapio; Suominen, Hanna; Boberg, Jorma Efficient cross-validation for kernelized least-squares regression with sparse basis expansions. (English) Zbl 1243.68246 Mach. Learn. 87, No. 3, 381-407 (2012). MSC: 68T05 PDF BibTeX XML Cite \textit{T. Pahikkala} et al., Mach. Learn. 87, No. 3, 381--407 (2012; Zbl 1243.68246) Full Text: DOI OpenURL
Pahikkala, Tapio; Tsivtsivadze, Evgeni; Airola, Antti; Järvinen, Jouni; Boberg, Jorma An efficient algorithm for learning to rank from preference graphs. (English) Zbl 1470.68155 Mach. Learn. 75, No. 1, 129-165 (2009). MSC: 68T05 68R10 PDF BibTeX XML Cite \textit{T. Pahikkala} et al., Mach. Learn. 75, No. 1, 129--165 (2009; Zbl 1470.68155) Full Text: DOI OpenURL
Cressie, Noel; Johannesson, Gardar Fixed rank Kriging for very large spatial data sets. (English) Zbl 05563351 J. R. Stat. Soc., Ser. B, Stat. Methodol. 70, No. 1, 209-226 (2008). MSC: 62-XX PDF BibTeX XML Cite \textit{N. Cressie} and \textit{G. Johannesson}, J. R. Stat. Soc., Ser. B, Stat. Methodol. 70, No. 1, 209--226 (2008; Zbl 05563351) Full Text: DOI OpenURL